Missing Plants Effects and Stand Correction Methods in Coffea arabica Progeny Experiments
Abstract
:1. Introduction
2. Materials and Methods
- (i)
- RT method, using the expression Zij = Yij(H/Xij), where H represents the ideal stand (in this case, six plants);
- (ii)
- Zb method, using Zij = Yij[H − a(H − Xij)]/Xij, where a represents the compensation coefficient for the absence of competition (in this case, a = 0.3);
- (iii)
- VC method, using Zij = Yij[H − a(H − Xij)]/Xij, where a represents the compensation coefficient estimated from experimental data, and H = ideal stand;
- (iv)
- Analysis of covariance with the ideal stand as the covariate (hereinafter “ACI” method), using Zij = Yij − b(Xij − H), where b represents the linear regression coefficient as a function of Yij, estimated according to the procedure described by Steel et al. [9];
- (v)
- Analysis of covariance with the average stand as the covariate (hereinafter “ACA” method), using Zij = Yij − b(Xij − ..X), where b represents the Yij residual regression coefficient, estimated according to the procedure described by Steel et al. [9], and ..X represents the average stand of the experiment;
- (vi)
- Cr method, using Zij = Yij(H/Xij) − c(H − Xij), where c represents the residual regression coefficient of the variable Yij (corrected using the RT method) as a function of the number of failures in the plot. In all the adjustment expressions above, Zij represents the corrected yield, and Yij represents the observed production in real plots/stands (Xij).
3. Results
4. Discussion and Conclusion
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Experiments | Progenies | Location | Spacing | NP | Failures (%) | p-Value | b | |
---|---|---|---|---|---|---|---|---|
IxC-CA | Icatu × Catimor | Campos Altos | 3.5 × 0.5 | 30 | 6.80 | 0.16 | 19.30 | 1.11 |
IxC-S | Icatu × Catimor | São Sebastião do Paraíso | 3.0 × 0.5 | 30 | 14.72 | 0.01 | ||
MxC-TP | Mundo Novo × Catuaí | Três Pontas | 2.5 × 0.7 | 42 | 22.88 | 0.28 | 12.03 | 1.62 |
MxC-CA | Mundo Novo × Catuaí | Campos Altos | 3.5 × 0.5 | 25 | 4.33 | 0.31 | 25.66 | −1.07 |
MxC-CP | Mundo Novo × Catuaí | Capelinha | 3.5 × 0.5 | 25 | 12.83 | 0.89 | 11.11 | 0.88 |
ICT-CA | Icatu | Campos Altos | 3.5 × 0.8 | 15 | 13.61 | 0.69 | 25.96 | 0.94 |
ICT-CP | Icatu | Capelinha | 3.5 × 0.8 | 15 | 26.67 | 0.13 | 15.91 | 1.68 |
MN-TP | Mundo Novo | Três Pontas | 3.0 × 1.0 | 35 | 10.33 | 0.40 | 22.22 | 1.99 |
MN-CA | Mundo Novo | Campos Altos | 3.5 × 0.8 | 35 | 18.22 | 0.67 | 23.03 | 1.72 |
MN-CP | Mundo Novo | Capelinha | 3.5 × 0.8 | 35 | 29.78 | 0.08 | 13.85 | 1.95 |
CAT-CP | Catuaí | Capelinha | 3.5 × 0.5 | 20 | 46.25 | 0.01 | ||
Mean | 19.15 | 1.20 |
Experiment | H 01 | H 02 | H 03 | H 04 | H 05 | H 06 | Mean |
---|---|---|---|---|---|---|---|
IxC-CA | 0.89 | 1.38 | 1.61 | 1.21 | −0.08 | 1.72 | 1.12 |
MxC-TP | 2.77 | 1.77 | 2.86 | 0.56 | 1.72 | 0.07 | 1.63 |
MxC-CA | 0.94 | 1.017 | 2.73 | 2.14 | 0.80 | 0.74 | 1.39 |
MxC-CP | −0.24 | 1.17 | −0.16 | 2.66 | 0.99 | 0.99 | 1.00 |
ICT-CA | 0.39 | 1.11 | 0.42 | 1.16 | 0.14 | 1.75 | 0.83 |
ICT-CP | 0.43 | 1.48 | 0.54 | 2.40 | 1.25 | 2.04 | 1.35 |
MN-TP | −0.53 | 0.001 | 1.78 | 0.40 | 6.60 | 0.53 | 1.29 |
MN-CA | 0.19 | 0.88 | 1.10 | 1.07 | 1.10 | 0.002 | 0.73 |
MN-CP | −0.05 | 1.04 | −0.09 | 0.94 | 1.75 | 0.67 | 0.71 |
Average | 0.53 | 1.09 | 1.37 | 1.39 | 1.59 | 0.95 | 1.15 |
Experiment * | AA | RT | Zb | VC | ACI | ACA | Cr |
---|---|---|---|---|---|---|---|
IxC-CA | 19.30 | 20.98 | 20.47 | 20.98 | 19.75 | 19.30 | 20.98 |
MxC-TP | 12.30 | 18.65 | 18.38 | 17.81 | 18.18 | 17.75 | 17.98 |
MxC-CA | 25.67 | 27.11 | 26.68 | 24.80 | 25.36 | 25.67 | 25.49 |
MxC-CP | 11.12 | 13.07 | 12.48 | 11.03 | 11.79 | 11.12 | 11.57 |
ICT-CA | 25.95 | 31.27 | 29.68 | 29.09 | 26.73 | 25.96 | 25.89 |
ICT-CP | 15.91 | 23.99 | 21.57 | 10.20 | 18.59 | 18.59 | 15.91 |
MN-TP | 22.22 | 23.35 | 23.01 | 22.53 | 22.69 | 22.22 | 22.87 |
MN-CA | 26.03 | 30.63 | 29.25 | 28.06 | 27.31 | 26.03 | 26.47 |
MN-CP | 13.85 | 19.29 | 17.66 | 15.34 | 16.75 | 13.85 | 16.15 |
Average | 19.15 | 23.15 | 22.13 | 19.98 | 20.79 | 20.05 | 20.36 |
Increment (%) | - | 18.72 | 15.57 | 4.34 | 8.59 | 4.72 | 6.32 |
Standard deviation of the mean | 4.16 | 6.81 | 5.57 | 5.64 | 3.95 | 3.95 | 5.57 |
Icatu × Catimor—CA | Mundo Novo × Catuai—CA | Mundo Novo × Catuai—C | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
p-Value | IC | p-Value | IC | p-Value | IC | |||||||
AA | 0.09 | 0.61 | 1.00 | 1.00 | 0.12 | 0.60 | 1.00 | 1.00 | 0.29 | 0.42 | 1.00 | 1.00 |
RT | 0.23 | 0.46 | 0.66 | 0.14 | 0.26 | 0.46 | 0.86 | 0.73 | - | 0.00 | 0.00 | 0.00 |
Zb | 0.18 | 0.52 | 0.81 | 0.71 | 0.21 | 0.51 | 0.92 | 0.73 | - | 0.00 | 0.00 | 0.00 |
VC | 0.14 | 0.55 | 0.95 | 0.71 | 0.10 | 0.62 | 0.92 | 1.00 | 0.20 | 0.52 | 0.97 | 0.73 |
ACI | 0.14 | 0.53 | 0.98 | 1.00 | 0.09 | 0.64 | 0.99 | 1.00 | 0.45 | 0.21 | 0.98 | 0.73 |
ACA | 0.12 | 0.56 | 0.97 | 1.00 | 0.09 | 0.64 | 0.99 | 1.00 | 0.45 | 0.21 | 0.98 | 0.73 |
Cr | 0.08 | 0.63 | 1.00 | 1.00 | 0.09 | 0.64 | 0.99 | 1.00 | 0.40 | 0.28 | 0.82 | 0.47 |
Mundo Novo × Catuai—TP | Icatu—CA | Icatu—C | ||||||||||
p-Value | IC | p-Value | IC | p-Value | IC | |||||||
AA | 0.07 | 0.56 | 1.00 | 1.00 | 0.33 | 0.43 | 1.00 | 1.00 | 0.04 | 0.82 | 1.00 | 1.00 |
RT | 0.06 | 0.58 | 0.93 | 0.00 | - | 0.00 | 0.00 | 0.00 | 0.19 | 0.59 | 0.59 | 0.29 |
Zb | 0.06 | 0.57 | 0.96 | 0.00 | 0.27 | 0.27 | 0.65 | 0.53 | 0.14 | 0.65 | 0.71 | 0.29 |
VC | 0.04 | 0.56 | 0.99 | 0.66 | - | 0.00 | 0.00 | 0.00 | 0.24 | 0.54 | 0.38 | 0.53 |
ACI | 0.06 | 0.58 | 0.98 | 0.66 | 0.33 | 0.43 | 0.98 | 1.00 | 0.04 | 0.82 | 0.96 | 0.76 |
ACA | 0.06 | 0.58 | 0.98 | 0.66 | 0.33 | 0.43 | 0.98 | 1.00 | 0.04 | 0.82 | 0.96 | 0.76 |
Cr | 0.05 | 0.58 | 0.99 | 0.66 | 0.41 | 0.30 | 0.90 | 0.76 | 0.14 | 0.65 | 0.71 | 0.53 |
Mundo Novo—CA | Mundo Novo—TP | Mundo Novo—CA | ||||||||||
p-Value | IC | p-Value | IC | p-Value | IC | |||||||
AA | 0.08 | 0.61 | 1.00 | 1.00 | 0.22 | 0.46 | 1.00 | 1.00 | 0.02 | 0.72 | 1.00 | 1.00 |
RT | - | 0.00 | 0.00 | 0.00 | 0.19 | 0.48 | 0.81 | 0.38 | - | 0.00 | 0.00 | 0.00 |
Zb | - | 0.00 | 0.00 | 0.00 | 0.18 | 0.49 | 0.90 | 0.69 | 0.34 | 0.33 | 0.79 | 0.69 |
VC | 0.42 | 0.23 | 0.84 | 0.08 | 0.47 | 0.15 | 0.95 | 0.69 | 0.09 | 0.59 | 0.96 | 1.00 |
ACI | 0.20 | 0.48 | 0.96 | 1.00 | 0.17 | 0.50 | 0.97 | 0.69 | 0.06 | 0.64 | 0.92 | 1.00 |
ACA | 0.20 | 0.48 | 0.96 | 1.00 | 0.17 | 0.50 | 0.97 | 0.69 | 0.06 | 0.64 | 0.92 | 1.00 |
Cr | 0.11 | 0.57 | 0.93 | 0.69 | 0.21 | 0.47 | 0.91 | 0.69 | 0.31 | 0.36 | 0.84 | 0.69 |
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Botelho, C.E.; Andrade, V.T.; Abrahão, J.C.d.R.; Gonçalves, F.M.A. Missing Plants Effects and Stand Correction Methods in Coffea arabica Progeny Experiments. Agronomy 2023, 13, 2374. https://doi.org/10.3390/agronomy13092374
Botelho CE, Andrade VT, Abrahão JCdR, Gonçalves FMA. Missing Plants Effects and Stand Correction Methods in Coffea arabica Progeny Experiments. Agronomy. 2023; 13(9):2374. https://doi.org/10.3390/agronomy13092374
Chicago/Turabian StyleBotelho, César Elias, Vinicius Teixeira Andrade, Juliana Costa de Rezende Abrahão, and Flávia Maria Avelar Gonçalves. 2023. "Missing Plants Effects and Stand Correction Methods in Coffea arabica Progeny Experiments" Agronomy 13, no. 9: 2374. https://doi.org/10.3390/agronomy13092374